Pacing efficacy determination using a representative morphology of external cardiac signals

ABSTRACT

Systems and methods are described herein for detecting efficiency of pacing using external cardiac signals. A representative electrical signal morphology of the cardiac signals may be determined based on the plurality of electrical signals, and an efficacy of left bundle branch (LBB) engagement determined based on the representative electrical signal morphology.

The present application claims the benefit of U.S. Provisional Application No. 63/001,867, filed Mar. 30, 2020, which is incorporated herein by reference in its entirety.

The disclosure herein relates to systems and method for use in the determination of pacing efficacy using a plurality of external electrodes.

Implantable medical devices (IMDs), such as implantable pacemakers, cardioverters, defibrillators, or pacemaker-cardioverter-defibrillators, provide therapeutic electrical stimulation to the heart. IMDs may provide pacing to address bradycardia, or pacing or shocks in order to terminate tachyarrhythmia, such as tachycardia or fibrillation. In some cases, the medical device may sense intrinsic depolarizations of the heart, detect arrhythmia based on the intrinsic depolarizations (or absence thereof), and control delivery of electrical stimulation to the heart if arrhythmia is detected based on the intrinsic depolarizations.

IMDs may also provide cardiac resynchronization therapy (CRT), which is a form of pacing. CRT involves the delivery of pacing to the left ventricle, or both the left and right ventricles. The timing and location of the delivery of pacing pulses to the ventricle(s) may be selected to improve the coordination and efficiency of ventricular contraction.

Systems for implanting medical devices may include workstations or other equipment in addition to the implantable medical device itself. In some cases, these other pieces of equipment assist the physician or other technician with placing the intracardiac leads at particular locations on the heart. In some cases, the equipment provides information to the physician about the electrical activity of the heart and the location of the intracardiac lead. The equipment may perform similar functions as the medical device, including delivering electrical stimulation to the heart and sensing the depolarizations of the heart. In some cases, the equipment may include equipment for obtaining an electrocardiogram (ECG) via electrodes on the surface, or skin, of the patient. More specifically, the patient may have a plurality of electrodes on an ECG belt or vest that surrounds the torso of the patient. After the belt or vest has been secured to the torso, a physician can perform a series of tests to evaluate a patient's cardiac response. The evaluation process can include detection of a baseline rhythm in which no electrical stimuli is delivered to cardiac tissue and another rhythm after electrical stimuli is delivered to the cardiac tissue.

The ECG electrodes placed on the body surface of the patient may be used for various therapeutic purposes (e.g., cardiac resynchronization therapy) including optimizing lead location, pacing parameters, etc. based on one or more metrics derived from the signals captured by the ECG electrodes. For example, electrical heterogeneity information may be derived from electrical activation times computed from multiple electrodes on the body surface.

SUMMARY

The exemplary systems and methods described herein may be configured to assist users (e.g., physicians) in configuring cardiac therapy (e.g., cardiac therapy being performed on a patient during and/or after implantation of cardiac therapy apparatus). The systems and methods may be described as being noninvasive. For example, the systems and methods may not need implantable devices such as leads, probes, sensors, catheters, etc. to evaluate and configure the cardiac therapy. Instead, the systems and methods may use electrical measurements taken noninvasively using, e.g., a plurality of external electrodes attached to the skin of a patient about the patient's torso.

One exemplary system for use in cardiac evaluation may include an electrode apparatus comprising a plurality of external electrodes to be disposed proximate a patient's skin. A computing apparatus comprises processing circuitry. The computing apparatus is operably coupled to the electrode apparatus. The computing apparatus is configured to monitor electrical activity from tissue of a patent using a plurality of external electrodes to generate a plurality of electrical signals. A representative electrical signal morphology is determined based on the plurality of electrical signals. An efficacy of left bundle branch (LBB) engagement is determined based on the representative electrical signal morphology.

One exemplary method for use in cardiac evaluation includes monitoring electrical activity from tissue of a patent using a plurality of external electrodes to generate a plurality of electrical signals. A representative electrical signal morphology is determined based on the plurality of electrical signals. An efficacy of left bundle branch (LBB) engagement is determined based on the representative electrical signal morphology.

Further, ventricle from atrium (VfA) and/or left bundle branch (LBB) area pacing targets the left bundle branch for delivery of pacing to provide efficient electrical activation of the ventricle. A plurality of external ECG electrodes may be used as a surface mapping tool for “mapping out” ventricular activation. Monitoring posterior activation from the ECG electrodes may help determine the efficacy of left bundle activation from LBB area pacing, from VfA pacing, and/or by pushing a His bundle lead more distally to engage the left bundle

The above summary is not intended to describe each embodiment or every implementation of the present disclosure. A more complete understanding will become apparent and appreciated by referring to the following detailed description and claims taken in conjunction with the accompanying drawings.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a diagram of an exemplary system including electrode apparatus, display apparatus, and computing apparatus.

FIGS. 2-3 are diagrams of exemplary external electrode apparatus for measuring torso-surface potentials.

FIG. 4 is a block diagrams of an exemplary method for pacing efficiency determination using a representative morphology of external cardiac signals.

FIG. 5 is a detailed block diagram of a process of the exemplary method of FIG. 4.

FIG. 6 illustrates a plurality of posterior external electrical signals and a median posterior morphology.

FIG. 7 is a conceptual diagram of an illustrative cardiac therapy system including an intracardiac medical device implanted in a patient's heart and a separate medical device positioned outside of the patient's heart.

FIG. 8 is an enlarged conceptual diagram of the intracardiac medical device of FIG. 7 and anatomical structures of the patient's heart.

FIG. 9 is a conceptual diagram of a map of a patient's heart in a standard 17 segment view of the left ventricle showing various electrode implantation locations for use with the illustrative systems and devices described herein.

FIG. 10 is a block diagram of illustrative circuitry that may be enclosed within the housing of the medical devices of FIGS. 7-8, for example, to provide the functionality and therapy described herein.

DETAILED DESCRIPTION OF EXEMPLARY EMBODIMENTS

In the following detailed description of illustrative embodiments, reference is made to the accompanying figures of the drawing which form a part hereof, and in which are shown, by way of illustration, specific embodiments which may be practiced. It is to be understood that other embodiments may be utilized and structural changes may be made without departing from (e.g., still falling within) the scope of the disclosure presented hereby.

Illustrative systems and methods shall be described with reference to FIGS. 1-10. It will be apparent to one skilled in the art that elements or processes from one embodiment may be used in combination with elements or processes of the other embodiments, and that the possible embodiments of such systems and methods using combinations of features set forth herein is not limited to the specific embodiments shown in the Figures and/or described herein. Further, it will be recognized that the embodiments described herein may include many elements that are not necessarily shown to scale. Still further, it will be recognized that timing of the processes and the size and shape of various elements herein may be modified but still fall within the scope of the present disclosure, although certain timings, one or more shapes and/or sizes, or types of elements, may be advantageous over others.

A plurality of electrocardiogram (ECG) signals (e.g., torso-surface potentials) may be measured, or monitored, using a plurality of external electrodes positioned about the surface, or skin, of a patient. The ECG signals may be used to evaluate and configure cardiac therapy such as, e.g., cardiac therapy provide by an implantable medical device performing cardiac resynchronization therapy (CRT). As described herein, the ECG signals may be gathered or obtained noninvasively since, e.g., implantable electrodes may not be used to measure the ECG signals. Further, the ECG signals may be used to determine cardiac electrical activation times, which may be used to generate various metrics (e.g., electrical heterogeneity information) that may be used by a user (e.g., physician) to optimize one or more settings, or parameters, of cardiac therapy (e.g., pacing therapy) such as CRT.

Various illustrative systems, methods, and graphical user interfaces may be configured to use electrode apparatus including external electrodes, display apparatus, and computing apparatus to noninvasively assist a user (e.g., a physician) in the evaluation of cardiac health and/or the configuration (e.g., optimization) of cardiac therapy. An illustrative system 100 including electrode apparatus 110, computing apparatus 140, and a remote computing device 160 is depicted in FIG. 1.

The electrode apparatus 110 as shown includes a plurality of electrodes incorporated, or included, within a band wrapped around the chest, or torso, of a patient 14. The electrode apparatus 110 is operatively coupled to the computing apparatus 140 (e.g., through one or wired electrical connections, wirelessly, etc.) to provide electrical signals from each of the electrodes to the computing apparatus 140 for analysis, evaluation, etc. Illustrative electrode apparatus may be described in U.S. Pat. No. 9,320,446 entitled “Bioelectric Sensor Device and Methods” filed Mar. 27, 2014, and issued on Mar. 26, 2016, and U.S. Provisional Patent Application Ser. No. 62/957,449 filed on Jan. 6, 2020, entitled “Bioelectric Sensor Device and Methods,” each of which is incorporated herein by reference in its entirety. Further, illustrative electrode apparatus 110 will be described in more detail in reference to FIGS. 2-3.

Although not described herein, the illustrative system 100 may further include imaging apparatus. The imaging apparatus may be any type of imaging apparatus configured to image, or provide images of, at least a portion of the patient in a noninvasive manner. For example, the imaging apparatus may not use any components or parts that may be located within the patient to provide images of the patient except noninvasive tools such as contrast solution. It is to be understood that the illustrative systems, methods, and interfaces described herein may further use imaging apparatus to provide noninvasive assistance to a user (e.g., a physician) to locate, or place, one or more pacing electrodes proximate the patient's heart in conjunction with the configuration of cardiac therapy.

For example, the illustrative systems and methods may provide image guided navigation that may be used to navigate leads including electrodes, leadless electrodes, wireless electrodes, catheters, etc., within the patient's body while also providing noninvasive cardiac therapy configuration including determining an effective, or optimal, pre-excitation intervals such as A-V and V-V intervals, etc. Illustrative systems and methods that use imaging apparatus and/or electrode apparatus may be described in U.S. Pat. App. Pub. No. 2014/0371832 to Ghosh published on Dec. 18, 2014, U.S. Pat. App. Pub. No. 2014/0371833 to Ghosh et al. published on Dec. 18, 2014, U.S. Pat. App. Pub. No. 2014/0323892 to Ghosh et al. published on Oct. 30, 2014, U.S. Pat. App. Pub. No. 2014/0323882 to Ghosh et al. published on Oct. 20, 2014, each of which is incorporated herein by reference in its entirety.

Illustrative imaging apparatus may be configured to capture x-ray images and/or any other alternative imaging modality. For example, the imaging apparatus may be configured to capture images, or image data, using isocentric fluoroscopy, bi-plane fluoroscopy, ultrasound, computed tomography (CT), multi-slice computed tomography (MSCT), magnetic resonance imaging (MM), high frequency ultrasound (HIFU), optical coherence tomography (OCT), intra-vascular ultrasound (IVUS), two dimensional (2D) ultrasound, three dimensional (3D) ultrasound, four dimensional (4D) ultrasound, intraoperative CT, intraoperative MRI, etc. Further, it is to be understood that the imaging apparatus may be configured to capture a plurality of consecutive images (e.g., continuously) to provide video frame data. In other words, a plurality of images taken over time using the imaging apparatus may provide video frame, or motion picture, data. An exemplary system that employs ultrasound can be found in U.S. Pat. App. Pub. No. 2017/0303840 entitled NONINVASIVE ASSESSMENT OF CARDIAC RESYNCHRONIZATION THERAPY to Stadler et al., incorporated by reference in its entirety. Additionally, the images may also be obtained and displayed in two, three, or four dimensions. In more advanced forms, four-dimensional surface rendering of the heart or other regions of the body may also be achieved by incorporating heart data or other soft tissue data from a map or from pre-operative image data captured by MM, CT, or echocardiography modalities. Image datasets from hybrid modalities, such as positron emission tomography (PET) combined with CT, or single photon emission computer tomography (SPECT) combined with CT, could also provide functional image data superimposed onto anatomical data, e.g., to be used to navigate implantable apparatus to target locations within the heart or other areas of interest.

Systems and/or imaging apparatus that may be used in conjunction with the illustrative systems and method described herein are described in U.S. Pat. App. Pub. No. 2005/0008210 to Evron et al. published on Jan. 13, 2005, U.S. Pat. App. Pub. No. 2006/0074285 to Zarkh et al. published on Apr. 6, 2006, U.S. Pat. No. 8,731,642 to Zarkh et al. issued on May 20, 2014, U.S. Pat. No. 8,861,830 to Brada et al. issued on Oct. 14, 2014, U.S. Pat. No. 6,980,675 to Evron et al. issued on Dec. 27, 2005, U.S. Pat. No. 7,286,866 to Okerlund et al. issued on Oct. 23, 2007, U.S. Pat. No. 7,308,297 to Reddy et al. issued on Dec. 11, 2011, U.S. Pat. No. 7,308,299 to Burrell et al. issued on Dec. 11, 2011, U.S. Pat. No. 7,321,677 to Evron et al. issued on Jan. 22, 2008, U.S. Pat. No. 7,346,381 to Okerlund et al. issued on Mar. 18, 2008, U.S. Pat. No. 7,454,248 to Burrell et al. issued on Nov. 18, 2008, U.S. Pat. No. 7,499,743 to Vass et al. issued on Mar. 3, 2009, U.S. Pat. No. 7,565,190 to Okerlund et al. issued on Jul. 21, 2009, U.S. Pat. No. 7,587,074 to Zarkh et al. issued on Sep. 8, 2009, U.S. Pat. No. 7,599,730 to Hunter et al. issued on Oct. 6, 2009, U.S. Pat. No. 7,613,500 to Vass et al. issued on Nov. 3, 2009, U.S. Pat. No. 7,742,629 to Zarkh et al. issued on Jun. 22, 2010, U.S. Pat. No. 7,747,047 to Okerlund et al. issued on Jun. 29, 2010, U.S. Pat. No. 7,778,685 to Evron et al. issued on Aug. 17, 2010, U.S. Pat. No. 7,778,686 to Vass et al. issued on Aug. 17, 2010, U.S. Pat. No. 7,813,785 to Okerlund et al. issued on Oct. 12, 2010, U.S. Pat. No. 7,996,063 to Vass et al. issued on Aug. 9, 2011, U.S. Pat. No. 8,060,185 to Hunter et al. issued on Nov. 15, 2011, and U.S. Pat. No. 8,401,616 to Verard et al. issued on Mar. 19, 2013, each of which is incorporated herein by reference in its entirety.

The computing apparatus 140 and the remote computing device 160 may each include display apparatus 130, 170, respectively, that may be configured to display and analyze data such as, e.g., electrical signals (e.g., electrocardiogram data), electrical activation times, electrical heterogeneity information, etc. For example, one cardiac cycle, or one heartbeat, of a plurality of cardiac cycles, or heartbeats, represented by the electrical signals collected or monitored by the electrode apparatus 110 may be analyzed and evaluated for one or more metrics including activation times and electrical heterogeneity information that may be pertinent to the therapeutic nature of one or more parameters related to cardiac therapy such as, e.g., pacing parameters, lead location, etc. More specifically, for example, the QRS complex of a single cardiac cycle may be evaluated for one or more metrics such as, e.g., QRS onset, QRS offset, QRS peak, electrical heterogeneity information (EHI), electrical activation times referenced to earliest activation time, left ventricular or thoracic standard deviation of electrical activation times (LVED), standard deviation of activation times (SDAT), average left ventricular or thoracic surrogate electrical activation times (LVAT), QRS duration (e.g., interval between QRS onset to QRS offset), difference between average left surrogate and average right surrogate activation times, relative or absolute QRS morphology, difference between a higher percentile and a lower percentile of activation times (higher percentile may be 90%, 80%, 75%, 70%, etc. and lower percentile may be 10%, 15%, 20%, 25% and 30%, etc.), other statistical measures of central tendency (e.g., median or mode), dispersion (e.g., mean deviation, standard deviation, variance, interquartile deviations, range), etc. Further, each of the one or more metrics may be location specific. For example, some metrics may be computed from signals recorded, or monitored, from electrodes positioned about a selected area of the patient such as, e.g., the left side of the patient, the right side of the patient, etc.

In at least one embodiment, one or both of the computing apparatus 140 and the remote computing device 160 may be a server, a personal computer, a tablet computer, a mobile device, and a cellular telephone. The computing apparatus 140 may be configured to receive input from input apparatus 142 (e.g., a keyboard) and transmit output to the display apparatus 130, and the remote computing device 160 may be configured to receive input from input apparatus 162 (e.g., a touchscreen) and transmit output to the display apparatus 170. One or both of the computing apparatus 140 and the remote computing device 160 may include data storage that may allow for access to processing programs or routines and/or one or more other types of data, e.g., for analyzing a plurality of electrical signals captured by the electrode apparatus 110, for determining QRS onsets, QRS offsets, medians, modes, averages, peaks or maximum values, valleys or minimum values, for determining electrical activation times, for driving a graphical user interface configured to noninvasively assist a user in configuring one or more pacing parameters, or settings, such as, e.g., pacing rate, ventricular pacing rate, A-V interval, V-V interval, pacing pulse width, pacing vector, multipoint pacing vector (e.g., left ventricular vector quad lead), pacing voltage, pacing configuration (e.g., biventricular pacing, right ventricle only pacing, left ventricle only pacing, etc.), and arrhythmia detection and treatment, rate adaptive settings and performance, etc.

The computing apparatus 140 may be operatively coupled to the input apparatus 142 and the display apparatus 130 to, e.g., transmit data to and from each of the input apparatus 142 and the display apparatus 130, and the remote computing device 160 may be operatively coupled to the input apparatus 162 and the display apparatus 170 to, e.g., transmit data to and from each of the input apparatus 162 and the display apparatus 170. For example, the computing apparatus 140 and the remote computing device 160 may be electrically coupled to the input apparatus 142, 162 and the display apparatus 130, 170 using, e.g., analog electrical connections, digital electrical connections, wireless connections, bus-based connections, network-based connections, internet-based connections, etc. As described further herein, a user may provide input to the input apparatus 142, 162 to view and/or select one or more pieces of configuration information related to the cardiac therapy delivered by cardiac therapy apparatus such as, e.g., an implantable medical device.

Although as depicted the input apparatus 142 is a keyboard and the input apparatus 162 is a touchscreen, it is to be understood that the input apparatus 142, 162 may include any apparatus capable of providing input to the computing apparatus 140 and the computing device 160 to perform the functionality, methods, and/or logic described herein. For example, the input apparatus 142, 162 may include a keyboard, a mouse, a trackball, a touchscreen (e.g., capacitive touchscreen, a resistive touchscreen, a multi-touch touchscreen, etc.), etc. Likewise, the display apparatus 130, 170 may include any apparatus capable of displaying information to a user, such as a graphical user interface 132, 172 including electrode status information, graphical maps of electrical activation, a plurality of signals for the external electrodes over one or more heartbeats, QRS complexes, various cardiac therapy scenario selection regions, various rankings of cardiac therapy scenarios, various pacing parameters, electrical heterogeneity information (EHI), textual instructions, graphical depictions of anatomy of a human heart, images or graphical depictions of the patient's heart, graphical depictions of locations of one or more electrodes, graphical depictions of a human torso, images or graphical depictions of the patient's torso, graphical depictions or actual images of implanted electrodes and/or leads, etc. Further, the display apparatus 130, 170 may include a liquid crystal display, an organic light-emitting diode screen, a touchscreen, a cathode ray tube display, etc.

The processing programs or routines stored and/or executed by the computing apparatus 140 and the remote computing device 160 may include programs or routines for computational mathematics, matrix mathematics, decomposition algorithms, compression algorithms (e.g., data compression algorithms), calibration algorithms, image construction algorithms, signal processing algorithms (e.g., various filtering algorithms, Fourier transforms, fast Fourier transforms, etc.), standardization algorithms, comparison algorithms, vector mathematics, or any other processing used to implement one or more illustrative methods and/or processes described herein. Data stored and/or used by the computing apparatus 140 and the remote computing device 160 may include, for example, electrical signal/waveform data from the electrode apparatus 110 (e.g., a plurality of QRS complexes), electrical activation times from the electrode apparatus 110, cardiac sound/signal/waveform data from acoustic sensors, graphics (e.g., graphical elements, icons, buttons, windows, dialogs, pull-down menus, graphic areas, graphic regions, 3D graphics, etc.), graphical user interfaces, results from one or more processing programs or routines employed according to the disclosure herein (e.g., electrical signals, electrical heterogeneity information, etc.), or any other data that may be used for carrying out the one and/or more processes or methods described herein.

In one or more embodiments, the illustrative systems, methods, and interfaces may be implemented using one or more computer programs executed on programmable computers, such as computers that include, for example, processing capabilities, data storage (e.g., volatile or non-volatile memory and/or storage elements), input devices, and output devices. Program code and/or logic described herein may be applied to input data to perform functionality described herein and generate desired output information. The output information may be applied as input to one or more other devices and/or methods as described herein or as would be applied in a known fashion.

The one or more programs used to implement the systems, methods, and/or interfaces described herein may be provided using any programmable language, e.g., a high-level procedural and/or object orientated programming language that is suitable for communicating with a computer system. Any such programs may, for example, be stored on any suitable device, e.g., a storage media, that is readable by a general or special purpose program running on a computer system (e.g., including processing apparatus) for configuring and operating the computer system when the suitable device is read for performing the procedures described herein. In other words, at least in one embodiment, the illustrative systems, methods, and interfaces may be implemented using a computer readable storage medium, configured with a computer program, where the storage medium so configured causes the computer to operate in a specific and predefined manner to perform functions described herein. Further, in at least one embodiment, the illustrative systems, methods, and interfaces may be described as being implemented by logic (e.g., object code) encoded in one or more non-transitory media that includes code for execution and, when executed by a processor or processing circuitry, is operable to perform operations such as the methods, processes, and/or functionality described herein.

The computing apparatus 140 and the remote computing device 160 may be, for example, any fixed or mobile computer system (e.g., a controller, a microcontroller, a personal computer, minicomputer, tablet computer, etc.). The exact configurations of the computing apparatus 140 and the remote computing device 160 are not limiting, and essentially any device capable of providing suitable computing capabilities and control capabilities (e.g., signal analysis, mathematical functions such as medians, modes, averages, maximum value determination, minimum value determination, slope determination, minimum slope determination, maximum slope determination, graphics processing, etc.) may be used. As described herein, a digital file may be any medium (e.g., volatile or non-volatile memory, a CD-ROM, a punch card, magnetic recordable tape, etc.) containing digital bits (e.g., encoded in binary, trinary, etc.) that may be readable and/or writeable by the computing apparatus 140 and the remote computing device 160 described herein. Also, as described herein, a file in user-readable format may be any representation of data (e.g., ASCII text, binary numbers, hexadecimal numbers, decimal numbers, graphically, etc.) presentable on any medium (e.g., paper, a display, etc.) readable and/or understandable by a user.

In view of the above, it will be readily apparent that the functionality as described in one or more embodiments according to the present disclosure may be implemented in any manner as would be known to one skilled in the art. As such, the computer language, the computer system, or any other software/hardware which is to be used to implement the processes described herein shall not be limiting on the scope of the systems, processes, or programs (e.g., the functionality provided by such systems, processes, or programs) described herein. Further, additional illustrative systems, methods, and devices that may be used with the present disclosure may be described in U.S. Provisional Patent Application Ser. No. 62/913,002 entitled “Systems, Methods, and Devices for Determining Cardiac Condition” and filed on Oct. 9, 2019.

The illustrative electrode apparatus 110 may be configured to measure body-surface potentials of a patient 14 and, more particularly, torso-surface potentials of a patient 14. As shown in FIG. 2, the illustrative electrode apparatus 110 may include a set, or array, of external electrodes 112, a strap 113, and interface/amplifier circuitry 116. The electrodes 112 may be attached, or coupled, to the strap 113 and the strap 113 may be configured to be wrapped around the torso of a patient 14 such that the electrodes 112 surround the patient's heart. As further illustrated, the electrodes 112 may be positioned around the circumference of a patient 14, including the posterior, lateral, posterolateral, anterolateral, and anterior locations of the torso of a patient 14.

The illustrative electrode apparatus 110 may be further configured to measure, or monitor, sounds from at least one or both the patient 14. As shown in FIG. 2, the illustrative electrode apparatus 110 may include a set, or array, of acoustic sensors 120 attached, or coupled, to the strap 113. The strap 113 may be configured to be wrapped around the torso of a patient 14 such that the acoustic sensors 120 surround the patient's heart. As further illustrated, the acoustic sensors 120 may be positioned around the circumference of a patient 14, including the posterior, lateral, posterolateral, anterolateral, and anterior locations of the torso of a patient 14.

Further, the electrodes 112 and the acoustic sensors 120 may be electrically connected to interface/amplifier circuitry 116 via wired connection 118. The interface/amplifier circuitry 116 may be configured to amplify the signals from the electrodes 112 and the acoustic sensors 120 and provide the signals to one or both of the computing apparatus 140 and the remote computing device 160. Other illustrative systems may use a wireless connection to transmit the signals sensed by electrodes 112 and the acoustic sensors 120 to the interface/amplifier circuitry 116 and, in turn, to one or both of the computing apparatus 140 and the remote computing device 160, e.g., as channels of data. In one or more embodiments, the interface/amplifier circuitry 116 may be electrically coupled to the computing apparatus 140 using, e.g., analog electrical connections, digital electrical connections, wireless connections, bus-based connections, network-based connections, internet-based connections, etc.

Although in the example of FIG. 2 the electrode apparatus 110 includes a strap 113, in other examples any of a variety of mechanisms, e.g., tape or adhesives, may be employed to aid in the spacing and placement of electrodes 112 and the acoustic sensors 120. In some examples, the strap 113 may include an elastic band, strip of tape, or cloth. Further, in some examples, the strap 113 may be part of, or integrated with, a piece of clothing such as, e.g., a t-shirt. In other examples, the electrodes 112 and the acoustic sensors 120 may be placed individually on the torso of a patient 14. Further, in other examples, one or both of the electrodes 112 (e.g., arranged in an array) and the acoustic sensors 120 (e.g., also arranged in an array) may be part of, or located within, patches, vests, and/or other manners of securing the electrodes 112 and the acoustic sensors 120 to the torso of the patient 14. Still further, in other examples, one or both of the electrodes 112 and the acoustic sensors 120 may be part of, or located within, two sections of material or two patches. One of the two patches may be located on the anterior side of the torso of the patient 14 (to, e.g., monitor electrical signals representative of the anterior side of the patient's heart, measure surrogate cardiac electrical activation times representative of the anterior side of the patient's heart, monitor or measure sounds of the anterior side of the patient, etc.) and the other patch may be located on the posterior side of the torso of the patient 14 (to, e.g., monitor electrical signals representative of the posterior side of the patient's heart, measure surrogate cardiac electrical activation times representative of the posterior side of the patient's heart, monitor or measure sounds of the posterior side of the patient, etc.). And still further, in other examples, one or both of the electrodes 112 and the acoustic sensors 120 may be arranged in a top row and bottom row that extend from the anterior side of the patient 14 across the left side of the patient 14 to the posterior side of the patient 14. Yet still further, in other examples, one or both of the electrodes 112 and the acoustic sensors 120 may be arranged in a curve around the armpit area and may have an electrode/sensor-density that less dense on the right thorax that the other remaining areas.

The electrodes 112 may be configured to surround the heart of the patient 14 and record, or monitor, the electrical signals associated with the depolarization and repolarization of the heart after the signals have propagated through the torso of a patient 14. Each of the electrodes 112 may be used in a unipolar configuration to sense the torso-surface potentials that reflect the cardiac signals. The interface/amplifier circuitry 116 may also be coupled to a return or indifferent electrode (not shown) that may be used in combination with each electrode 112 for unipolar sensing.

In some examples, there may be about 12 to about 50 electrodes 112 and about 12 to about 50 acoustic sensors 120 spatially distributed around the torso of a patient. Other configurations may have more or fewer electrodes 112 and more or fewer acoustic sensors 120. It is to be understood that the electrodes 112 and acoustic sensors 120 may not be arranged or distributed in an array extending all the way around or completely around the patient 14. Instead, the electrodes 112 and acoustic sensors 120 may be arranged in an array that extends only part of the way or partially around the patient 14. For example, the electrodes 112 and acoustic sensors 120 may be distributed on the anterior, posterior, and left sides of the patient with less or no electrodes and acoustic sensors proximate the right side (including posterior and anterior regions of the right side of the patient).

The computing apparatus 140 may record and analyze the torso-surface potential signals sensed by electrodes 112 and the sound signals sensed by the acoustic sensors 120, which are amplified/conditioned by the interface/amplifier circuitry 116. The computing apparatus 140 may be configured to analyze the electrical signals from the electrodes 112 to provide electrocardiogram (ECG) signals, information, or data from the patient's heart as will be further described herein. The computing apparatus 140 may be configured to analyze the electrical signals from the acoustic sensors 120 to provide sound signals, information, or data from the patient's body and/or devices implanted therein (such as a left ventricular assist device).

Additionally, the computing apparatus 140 and the remote computing device 160 may be configured to provide graphical user interfaces 132, 172 depicting various information related to the electrode apparatus 110 and the data gathered, or sensed, using the electrode apparatus 110. For example, the graphical user interfaces 132, 172 may depict ECGs including QRS complexes obtained using the electrode apparatus 110 and sound data including sound waves obtained using the acoustic sensors 120 as well as other information related thereto. Illustrative systems and methods may noninvasively use the electrical information collected using the electrode apparatus 110 and the sound information collected using the acoustic sensors 120 to evaluate a patient's cardiac health and to evaluate and configure cardiac therapy being delivered to the patient.

Further, the electrode apparatus 110 may further include reference electrodes and/or drive electrodes to be, e.g. positioned about the lower torso of the patient 14, that may be further used by the system 100. For example, the electrode apparatus 110 may include three reference electrodes, and the signals from the three reference electrodes may be combined to provide a reference signal. Further, the electrode apparatus 110 may use of three caudal reference electrodes (e.g., instead of standard references used in a Wilson Central Terminal) to get a “true” unipolar signal with less noise from averaging three caudally located reference signals.

FIG. 3 illustrates another illustrative electrode apparatus 110 that includes a plurality of electrodes 112 configured to surround the heart of the patient 14 and record, or monitor, the electrical signals associated with the depolarization and repolarization of the heart after the signals have propagated through the torso of the patient 14 and a plurality of acoustic sensors 120 configured to surround the heart of the patient 14 and record, or monitor, the sound signals associated with the heart after the signals have propagated through the torso of the patient 14. The electrode apparatus 110 may include a vest 114 upon which the plurality of electrodes 112 and the plurality of acoustic sensors 120 may be attached, or to which the electrodes 112 and the acoustic sensors 120 may be coupled. In at least one embodiment, the plurality, or array, of electrodes 112 may be used to collect electrical information such as, e.g., surrogate electrical activation times. Similar to the electrode apparatus 110 of FIG. 2, the electrode apparatus 110 of FIG. 3 may include interface/amplifier circuitry 116 electrically coupled to each of the electrodes 112 and the acoustic sensors 120 through a wired connection 118 and be configured to transmit signals from the electrodes 112 and the acoustic sensors 120 to computing apparatus 140. As illustrated, the electrodes 112 and the acoustic sensors 120 may be distributed over the torso of a patient 14, including, for example, the posterior, lateral, posterolateral, anterolateral, and anterior locations of the torso of a patient 14.

The vest 114 may be formed of fabric with the electrodes 112 and the acoustic sensors 120 attached to the fabric. The vest 114 may be configured to maintain the position and spacing of electrodes 112 and the acoustic sensors 120 on the torso of the patient 14. Further, the vest 114 may be marked to assist in determining the location of the electrodes 112 and the acoustic sensors 120 on the surface of the torso of the patient 14. In some examples, there may be about 25 to about 256 electrodes 112 and about 25 to about 256 acoustic sensors 120 distributed around the torso of the patient 14, though other configurations may have more or fewer electrodes 112 and more or fewer acoustic sensors 120.

The illustrative systems and methods may be used to provide noninvasive assistance to a user in the evaluation of a patient's cardiac health and/or evaluation and configuration of cardiac therapy being presently delivered to the patient (e.g., by an implantable medical device delivering pacing therapy, by a LVAD, etc.). Further, it is to be understood that the computing apparatus 140 and the remote computing device 160 may be operatively coupled to each other in a plurality of different ways so as to perform, or execute, the functionality described herein. For example, in the embodiment depicted, the computing device 140 may be wireless operably coupled to the remote computing device 160 as depicted by the wireless signal lines emanating therebetween. Additionally, as opposed to wireless connections, one or more of the computing apparatus 140 and the remoting computing device 160 may be operably coupled through one or wired electrical connections.

Embodiments described herein involve using metrics related to the morphology of posterior ECGs recorded from the ECG belt to measure efficacy of LBB area pacing. For example, various embodiments involve comparing electrical signals from the ECG belt to a representative and/or median morphology of the electrical signals. A determination of pacing efficacy may be determined based on the comparison of a similarity of the electrical signals. In general, if too many of the electrical signals are dissimilar to the representative morphology, it may be determined that effective pacing has not been achieved, for example.

An illustrative method 400 for determining the efficacy of LBB engagement is depicted in FIG. 4. As shown, the method 400 includes monitoring 410 electrical activity to generate a plurality of electrical signals (e.g., ECG or cardiac signals). The electrical activity may be monitored during delivery of pacing therapy using a VfA pacing therapy. According to various embodiments, the electrical activity is monitored using a plurality of electrodes. The plurality of electrodes may be external surface electrodes configured in a band or a vest similar to as described herein with respect to FIGS. 1-3. Each of the electrodes may be positioned or located about the torso of the patient so as to monitor electrical activity (e.g., acquire torso-potentials) from a plurality of different locations about the torso of the patient. Each of the different locations where the electrodes are located may correspond to the electrical activation of different portions or regions of cardiac tissue of the patient's heart. Thus, for example, the plurality of electrodes may record, or monitor, the electrical signals associated with the depolarization and repolarization of a plurality of different locations of, or about, the heart after the signals have propagated through the torso of a patient. According to various embodiments, the plurality of external electrodes may include, or comprise, a plurality of posterior electrodes that are located proximate skin of the posterior of the patient's torso.

A representative electrical signal morphology may be determined 420 based on the plurality of monitored electrical signals. According to various implementations, the representative electrical signal morphology may be based on a median and/or mean of at least a portion of all of the monitored posterior signals. In some cases, the representative electrical signal morphology is based on a median and/or mean of all of the posterior signals.

The portion of the monitored electrical signals that may be used to determine the representative electrical signal morphology may vary. For example, the portion of the monitored electrical signals that may be used to determine the representative electrical signal morphology may be the QRS complex. Thus, the representative electrical morphology may be determined by determining the representative electrical signal morphology of a QRS complex of the same heartbeat for the plurality of electrical signals. The QRS complex may be defined to be the time period between a QRS onset and a QRS offset. The QRS onset and offset may be determined in a plurality of different ways. Illustrative systems and methods for determining QRS onset and offset may be described in U.S. Pat. App. Pub. No. 2018/0263522A1, which is incorporated herein by reference in its entirety. In some cases, the representative electrical morphology may be based on the median of all of the signals between a QRS onset and a QRS offset.

The efficacy of LBB engagement may then be determined 430 based on the representative electrical signal morphology. The efficacy of LBB engagement may be determined using one or more illustrative processes further described herein.

For example, according to various implementations, the efficacy of LBB engagement may be at least partially determined based on whether a maximum amplitude of the representative morphology is less than a maximum threshold and/or whether a minimum amplitude of the representative morphology is less than a minimum threshold (to, e.g., avoid large bundle branch blocks, which may be generally indicated by large R-waves). If one or both of these conditions has not been met, it may be determined that effective LBB engagement has not been achieved. The minimum amplitude threshold may be between about −0.1 and −0.25 mV. In at least one embodiment, the minimum amplitude threshold may be −0.1 mV. The maximum amplitude threshold may be between about 0.1 mV and 0.25. In at least one embodiment, the maximum amplitude threshold may be 0.1 mV.

Additionally, according to various implementations, the efficacy of LBB engagement may be at least partially determined based on a plurality of correlation values computed, or generated, for each of the plurality of electrical signals as will be described herein with respect to FIG. 5.

FIG. 5 shows an illustrative process for determining LBB engagement in accordance with embodiments described herein. Similarly to FIG. 4, a representative electrical signal morphology may be determined 510 based on a plurality of monitored electrical signals (e.g., monitored over a single heart beat). Each of the electrical signals may be compared 520 to the representative electrical signal morphology, and a plurality of correlation values corresponding to the plurality of electrical signals may be generated 530 from such comparison. The comparison between each of the plurality of electrical signals to the representative morphology may be completed in a variety of different ways. For example, one or more fiducial points of every signal may be compared to the representative morphology signal.

One illustrative process may include comparing one or both of the minimum amplitude and maximum amplitude to each electrical signal to the representative morphology. More specifically a maximum amplitude and a minimum amplitude of the representative electrical signal morphology may be determined. A maximum amplitude and a minimum amplitude of the at least one electrical signal of the plurality of electrical signals is determined. At least one of the maximum amplitude and the minimum amplitude of the at least one electrical signal is compared to the respective maximum amplitude and/or minimum amplitude of the representative electrical signal morphology. According to various configurations, maximum amplitudes may be determined by determining the signed difference between maximum peak and baseline amplitude. Minimum amplitudes may be determined based on the signed difference between minimum peak and/or negative peak and baseline amplitude. A degree of correlation of the at least one electrical signal to the representative morphology may be determined based on the comparisons of the maximum amplitudes and/or minimum amplitudes.

According to various configurations, LBB engagement efficacy may be determined by determining 540 whether a predetermined percentage of the plurality of correlation values is greater than or equal to a predetermined LBB engagement threshold value. More specifically, each of the plurality of correlation values may be compared to the predetermined LBB engagement threshold value. A percentage of correlation values that are greater than or equal to the predetermined LBB engagement threshold value may be determined or generated based on such comparisons. Then, the percentage of correlation values that are greater than or equal to the predetermined LBB engagement threshold value may be compared to a predetermined LBB engagement threshold value to determine LBB engagement efficacy.

The LBB engagement threshold value may be in a range of about 0.7 to about 0.9. The percentage may be in a range of about 60 to about 90. In some cases, the engagement threshold value is about 0.8 and the percentage is about 75%. If it is determined 540 that the percentage of correlation values is greater than the threshold, it is determined 542 that LBB engagement has been achieved

In some cases, a median value of the signals having a correlation value greater than the engagement threshold value is determined. The median value may be used to determine efficacy of LBB engagement. In addition to or as an alternative to the other methods described herein. For example, if the median value is less than a predetermined threshold, it may be determined that effective LBB engagement has not been achieved. In the case where the median value is determined to be greater than or equal to the threshold, it may be determined that effective LBB engagement has been achieved.

If it is determined 540 that the percentage of correlation values is not greater than the threshold, then it is determined 544 that LBB engagement is not achieved. If LBB engagement has not been achieved, one or more of various pacing settings or parameters such as, e.g., lead location, pacing vector, pacing amplitude, pacing pulse width, pacing timing (e.g., AV delay, VV delay, etc), may be adjusted until it is determined that LBB engagement has been achieved. In this way, a closed-loop style adjustment of pacing settings or parameters may be performed to, e.g., achieve effective LBB engagement.

FIG. 6 illustrates a plurality of posterior external electrical signals 610 and a median posterior morphology 620 (i.e., the thicker line). In some cases, the minimum amplitude threshold is about −0.1 mV. In FIG. 6, the minimum median amplitude 630 is about −0.42 mV. Therefore, it is less than the minimum amplitude threshold of −0.1 mV. In some cases, the maximum amplitude threshold is about 0.1 mV. In FIG. 6, The maximum median amplitude 640 is about 0.054 mV. This is less that the maximum amplitude threshold of 0.1 mV.

In this example, the engagement threshold value is about 0.8 and the percentage is about 75%. The percentage of posterior ECGs in FIG. 6 with a correlation greater than 0.8 is about 78%. The median correlation of all posterior electrodes with median posterior morphology in FIG. 6 is about 0.97. Because all of the relevant thresholds are met, it may be determined that effective LBB engagement has likely been achieved in this example. If one or more of the thresholds had not been met, it may be determined that there is non-effective LBB engagement

Further illustrative systems, methods, and processes for optimizing the cardiac pacing therapy may be described in U.S. patent application Ser. No. 15/934,517 filed on Mar. 23, 2019 entitled “Evaluation of Ventricle from Atrium Pacing Therapy” and U.S. Prov. Pat. App. Ser. No. 62/725,763 filed on Aug. 31, 2018 entitled “Adaptive VFA Cardiac Therapy,” each of which is incorporated herein by reference in its entirety.

An illustrative ventricle from atrium (VfA) cardiac therapy system is depicted in FIG. 7 that may be configured to be used with, for example, the systems and methods described herein with respect to FIGS. 1-6. Although it is to be understood that the present disclosure may utilize one or both of leadless and leaded implantable medical devices, the illustrative cardiac therapy system of FIG. 7 includes a leadless intracardiac medical device 10 that may be configured for single or dual chamber therapy and implanted in a patient's heart 8. In some embodiments, the device 10 may be configured for single chamber pacing and may, for example, switch between single chamber and multiple chamber pacing (e.g., dual or triple chamber pacing). As used herein, “intracardiac” refers to a device configured to be implanted entirely within a patient's heart, for example, to provide cardiac therapy. The device 10 is shown implanted in the right atrium (RA) of the patient's heart 8 in a target implant region 4. The device 10 may include one or more fixation members 20 that anchor a distal end of the device 10 against the atrial endocardium in a target implant region 4. The target implant region 4 may lie between the Bundle of His 5 and the coronary sinus 3 and may be adjacent, or next to, the tricuspid valve 6. The device 10 may be described as a ventricle-from-atrium device because, for example, the device 10 may perform, or execute, one or both of sensing electrical activity from and providing therapy to one or both ventricles (e.g., right ventricle, left ventricle, or both ventricles, depending on the circumstances) while being generally disposed in the right atrium. In particular, the device 10 may include a tissue-piercing electrode that may be implanted in the basal and/or septal region of the left ventricular myocardium of the patient's heart from the triangle of Koch region of the right atrium through the right atrial endocardium and central fibrous body.

The device 10 may be described as a leadless implantable medical device. As used herein, “leadless” refers to a device being free of a lead extending out of the patient's heart 8. Further, although a leadless device may have a lead, the lead would not extend from outside of the patient's heart to inside of the patient's heart or would not extend from inside of the patient's heart to outside of the patient's heart. Some leadless devices may be introduced through a vein, but once implanted, the device is free of, or may not include, any transvenous lead and may be configured to provide cardiac therapy without using any transvenous lead. Further, a leadless VfA device, in particular, does not use a lead to operably connect to an electrode in the ventricle when a housing of the device is positioned in the atrium. Additionally, a leadless electrode may be coupled to the housing of the medical device without using a lead between the electrode and the housing.

The device 10 may include a dart electrode assembly 12 defining, or having, a straight shaft extending from a distal end region of device 10. The dart electrode assembly 12 may be placed, or at least configured to be placed, through the atrial myocardium and the central fibrous body and into the ventricular myocardium 14, or along the ventricular septum, without perforating entirely through the ventricular endocardial or epicardial surfaces. The dart electrode assembly 12 may carry, or include, an electrode at a distal end region of the shaft such that the electrode may be positioned within the ventricular myocardium for sensing ventricular signals and delivering ventricular pacing pulses (e.g., to depolarize the left ventricle and/or right ventricle to initiate a contraction of the left ventricle and/or right ventricle). In some examples, the electrode at the distal end region of the shaft is a cathode electrode provided for use in a bipolar electrode pair for pacing and sensing. While the implant region 4 as illustrated may enable one or more electrodes of the dart electrode assembly 12 to be positioned in the ventricular myocardium, it is recognized that a device having the aspects disclosed herein may be implanted at other locations for multiple chamber pacing (e.g., dual or triple chamber pacing), single chamber pacing with multiple chamber sensing, single chamber pacing and/or sensing, or other clinical therapy and applications as appropriate.

It is to be understood that although device 10 is described herein as including a single dart electrode assembly, the device 10 may include more than one dart electrode assembly placed, or configured to be placed, through the atrial myocardium and the central fibrous body, and into the ventricular myocardium 14, or along the ventricular septum, without perforating entirely through the ventricular endocardial or epicardial surfaces. Additionally, each dart electrode assembly may carry, or include, more than a single electrode at the distal end region, or along other regions (e.g., proximal or central regions), of the shaft.

The cardiac therapy system 2 may also include a separate medical device 50 (depicted diagrammatically in FIG. 7), which may be positioned outside the patient's heart 8 (e.g., subcutaneously) and may be operably coupled to the patient's heart 8 to deliver cardiac therapy thereto. In one example, separate medical device 50 may be an extravascular ICD. In some embodiments, an extravascular ICD may include a defibrillation lead including, or carrying, a defibrillation electrode. A therapy vector may exist between the defibrillation electrode on the defibrillation lead and a housing electrode of the ICD. Further, one or more electrodes of the ICD may also be used for sensing electrical signals related to the patient's heart 8. The ICD may be configured to deliver shock therapy including one or more defibrillation or cardioversion shocks. For example, if an arrhythmia is sensed, the ICD may send a pulse via the electrical lead wires to shock the heart and restore its normal rhythm. In some examples, the ICD may deliver shock therapy without placing electrical lead wires within the heart or attaching electrical wires directly to the heart (subcutaneous ICDs). Examples of extravascular, subcutaneous ICDs that may be used with the system 2 described herein may be described in U.S. Pat. No. 9,278,229 (Reinke et al.), issued 8 Mar. 2016, which is incorporated herein by reference in its entirety.

In the case of shock therapy (e.g., defibrillation shocks provided by the defibrillation electrode of the defibrillation lead), the separate medical device 50 (e.g., extravascular ICD) may include a control circuit that uses a therapy delivery circuit to generate defibrillation shocks having any of a number of waveform properties, including leading-edge voltage, tilt, delivered energy, pulse phases, and the like. The therapy delivery circuit may, for instance, generate monophasic, biphasic, or multiphasic waveforms. Additionally, the therapy delivery circuit may generate defibrillation waveforms having different amounts of energy. For example, the therapy delivery circuit may generate defibrillation waveforms that deliver a total of between approximately 60-80 Joules (J) of energy for subcutaneous defibrillation.

The separate medical device 50 may further include a sensing circuit. The sensing circuit may be configured to obtain electrical signals sensed via one or more combinations of electrodes and to process the obtained signals. The components of the sensing circuit may include analog components, digital components, or a combination thereof. The sensing circuit may, for example, include one or more sense amplifiers, filters, rectifiers, threshold detectors, analog-to-digital converters (ADCs), or the like. The sensing circuit may convert the sensed signals to digital form and provide the digital signals to the control circuit for processing and/or analysis. For example, the sensing circuit may amplify signals from sensing electrodes and convert the amplified signals to multi-bit digital signals by an ADC, and then provide the digital signals to the control circuit. In one or more embodiments, the sensing circuit may also compare processed signals to a threshold to detect the existence of atrial or ventricular depolarizations (e.g., P- or R-waves) and indicate the existence of the atrial depolarization (e.g., P-waves) or ventricular depolarizations (e.g., R-waves) to the control circuit.

The device 10 and the separate medical device 50 may cooperate to provide cardiac therapy to the patient's heart 8. For example, the device 10 and the separate medical device 50 may be used to detect tachycardia, monitor tachycardia, and/or provide tachycardia-related therapy. For example, the device 10 may communicate with the separate medical device 50 wirelessly to trigger shock therapy using the separate medical device 50. As used herein, “wirelessly” refers to an operative coupling or connection without using a metal conductor between the device 10 and the separate medical device 50. In one example, wireless communication may use a distinctive, signaling, or triggering electrical-pulse provided by the device 10 that conducts through the patient's tissue and is detectable by the separate medical device 50. In another example, wireless communication may use a communication interface (e.g., an antenna) of the device 10 to provide electromagnetic radiation that propagates through patient's tissue and is detectable, for example, using a communication interface (e.g., an antenna) of the separate medical device 50.

FIG. 8 is an enlarged conceptual diagram of the intracardiac medical device 10 of FIG. 7 and anatomical structures of the patient's heart 8. In particular, the device 10 is configured to sense cardiac signals and/or deliver pacing therapy. The intracardiac device 10 may include a housing 30. The housing 30 may define a hermetically-sealed internal cavity in which internal components of the device 10 reside, such as a sensing circuit, therapy delivery circuit, control circuit, memory, telemetry circuit, other optional sensors, and a power source as generally described in conjunction with FIG. 10. The housing 30 may include (e.g., be formed of or from) an electrically conductive material such as, e.g., titanium or titanium alloy, stainless steel, MP35N (a non-magnetic nickel-cobalt-chromium-molybdenum alloy), platinum alloy, or other bio-compatible metal or metal alloy. In other examples, the housing 30 may include (e.g., be formed of or from) a non-conductive material including ceramic, glass, sapphire, silicone, polyurethane, epoxy, acetyl co-polymer plastics, polyether ether ketone (PEEK), a liquid crystal polymer, or other biocompatible polymer.

In at least one embodiment, the housing 30 may be described as extending between a distal end region 32 and a proximal end region 34 and as defining a generally-cylindrical shape, e.g., to facilitate catheter delivery. In other embodiments, the housing 30 may be prismatic or any other shape to perform the functionality and utility described herein. The housing 30 may include a delivery tool interface member 26, e.g., defined, or positioned, at the proximal end region 34, for engaging with a delivery tool during implantation of the device 10.

All or a portion of the housing 30 may function as a sensing and/or pacing electrode during cardiac therapy. In the example shown, the housing 30 includes a proximal housing-based electrode 24 that circumscribes a proximal portion (e.g., closer to the proximal end region 34 than the distal end region 32) of the housing 30. When the housing 30 is (e.g., defines, formed from, etc.) an electrically-conductive material, such as a titanium alloy or other examples listed above, portions of the housing 30 may be electrically insulated by a non-conductive material, such as a coating of parylene, polyurethane, silicone, epoxy, or other biocompatible polymer, leaving one or more discrete areas of conductive material exposed to form, or define, the proximal housing-based electrode 24. When the housing 30 is (e.g., defines, formed from, etc.) a non-conductive material, such as a ceramic, glass or polymer material, an electrically-conductive coating or layer, such as a titanium, platinum, stainless steel, or alloys thereof, may be applied to one or more discrete areas of the housing 30 to form, or define, the proximal housing-based electrode 24. In other examples, the proximal housing-based electrode 24 may be a component, such as a ring electrode, that is mounted or assembled onto the housing 30. The proximal housing-based electrode 24 may be electrically coupled to internal circuitry of the device 10, e.g., via the electrically-conductive housing 30 or an electrical conductor when the housing 30 is a non-conductive material.

In the example shown, the proximal housing-based electrode 24 is located nearer to the housing proximal end region 34 than the housing distal end region 32, and therefore, may be referred to as a proximal housing-based electrode 24. In other examples, however, the proximal housing-based electrode 24 may be located at other positions along the housing 30, e.g., more distal relative to the position shown.

At the distal end region 32, the device 10 may include a distal fixation and electrode assembly 36, which may include one or more fixation members 20 and one or more dart electrode assemblies 12 of equal or unequal length. In one such example as shown, a single dart electrode assembly 12 includes a shaft 40 extending distally away from the housing distal end region 32 and one or more electrode elements, such as a tip electrode 42 at or near the free, distal end region of the shaft 40. The tip electrode 42 may have a conical or hemi-spherical distal tip with a relatively narrow tip-diameter (e.g., less than about 1 millimeter (mm)) for penetrating into and through tissue layers without using a sharpened tip or needle-like tip having sharpened or beveled edges.

The dart electrode assembly 12 may be configured to pierce through one or more tissue layers to position the tip electrode 42 within a desired tissue layer such as, e.g., the ventricular myocardium. As such, the height 47, or length, of the shaft 40 may correspond to the expected pacing site depth, and the shaft 40 may have a relatively-high compressive strength along its longitudinal axis to resist bending in a lateral or radial direction when pressed against and into the implant region 4. If a second dart electrode assembly 12 is employed, its length may be unequal to the expected pacing site depth and may be configured to act as an indifferent electrode for delivering of pacing energy to and/or sensing signals from the tissue. In one embodiment, a longitudinal axial force may be applied against the tip electrode 42, e.g., by applying longitudinal pushing force to the proximal end 34 of the housing 30, to advance the dart electrode assembly 12 into the tissue within the target implant region.

The shaft 40 may be described as longitudinally non-compressive and/or elastically deformable in lateral or radial directions when subjected to lateral or radial forces to allow temporary flexing, e.g., with tissue motion, but may return to its normally straight position when lateral forces diminish. Thus, the dart electrode assembly 12 including the shaft 40 may be described as being resilient. When the shaft 40 is not exposed to any external force, or to only a force along its longitudinal central axis, the shaft 40 may retain a straight, linear position as shown.

In other words, the shaft 40 of the dart electrode assembly 12 may be a normally straight member and may be rigid. In other embodiments, the shaft 40 may be described as being relatively stiff but still possessing limited flexibility in lateral directions. Further, the shaft 40 may be non-rigid to allow some lateral flexing with heart motion. However, in a relaxed state, when not subjected to any external forces, the shaft 40 may maintain a straight position as shown to hold the tip electrode 42 spaced apart from the housing distal end region 32 at least by a height, or length, 47 of the shaft 40.

The one or more fixation members 20 may be described as one or more “tines” having a normally curved position. The tines may be held in a distally extended position within a delivery tool. The distal tips of tines may penetrate the heart tissue to a limited depth before elastically, or resiliently, curving back proximally into the normally curved position (shown) upon release from the delivery tool. Further, the fixation members 20 may include one or more aspects described in, for example, U.S. Pat. No. 9,675,579 (Grubac et al.), issued 13 Jun. 2017, and U.S. Pat. No. 9,119,959 (Rys et al.), issued 1 Sep. 2015, each of which is incorporated herein by reference in its entirety.

In some examples, the distal fixation and electrode assembly 36 includes a distal housing-based electrode 22. In the case of using the device 10 as a pacemaker for multiple chamber pacing (e.g., dual or triple chamber pacing) and sensing, the tip electrode 42 may be used as a cathode electrode paired with the proximal housing-based electrode 24 serving as a return anode electrode. Alternatively, the distal housing-based electrode 22 may serve as a return anode electrode paired with tip electrode 42 for sensing ventricular signals and delivering ventricular pacing pulses. In other examples, the distal housing-based electrode 22 may be a cathode electrode for sensing atrial signals and delivering pacing pulses to the atrial myocardium in the target implant region 4. When the distal housing-based electrode 22 serves as an atrial cathode electrode, the proximal housing-based electrode 24 may serve as the return anode paired with the tip electrode 42 for ventricular pacing and sensing and as the return anode paired with the distal housing-based electrode 22 for atrial pacing and sensing.

As shown in this illustration, the target implant region 4 in some pacing applications is along the atrial endocardium 18, generally inferior to the AV node 15 and the His bundle 5. The dart electrode assembly 12 may at least partially define the height 47, or length, of the shaft 40 for penetrating through the atrial endocardium 18 in the target implant region 4, through the central fibrous body 16, and into the ventricular myocardium 14 without perforating through the ventricular endocardial surface 17. When the height 47, or length, of the dart electrode assembly 12 is fully advanced into the target implant region 4, the tip electrode 42 may rest within the ventricular myocardium 14, and the distal housing-based electrode 22 may be positioned in intimate contact with or close proximity to the atrial endocardium 18. The dart electrode assembly 12 may have a total combined height 47, or length, of tip electrode 42 and shaft 40 from about 3 mm to about 8 mm in various examples. The diameter of the shaft 40 may be less than about 2 mm, and may be about 1 mm or less, or even about 0.6 mm or less.

FIG. 9 is a two-dimensional (2D) ventricular map 300 of a patient's heart (e.g., a top-down view) showing the left ventricle 320 in a standard 17 segment view and the right ventricle 322. The map 300 defines, or includes, a plurality of areas 326 corresponding to different regions of a human heart. As illustrated, the areas 326 are numerically labeled 1-17 (which, e.g., correspond to a standard 17 segment model of a human heart, correspond to 17 segments of the left ventricle of a human heart, etc.). Areas 326 of the map 300 may include basal anterior area 1, basal anteroseptal area 2, basal inferoseptal area 3, basal inferior area 4, basal inferolateral area 5, basal anterolateral area 6, mid-anterior area 7, mid-anteroseptal area 8, mid-inferoseptal area 9, mid-inferior area 10, mid-inferolateral area 11, mid-anterolateral area 12, apical anterior area 13, apical septal area 14, apical inferior area 15, apical lateral area 16, and apex area 17. The inferoseptal and anteroseptal areas of the right ventricle 322 are also illustrated, as well as the right bunch branch (RBB) 25 and left bundle branch (LBB) 27.

In some embodiments, any of the tissue-piercing electrodes of the present disclosure may be implanted in the basal and/or septal region of the left ventricular myocardium of the patient's heart. In particular, the tissue-piercing electrode may be implanted from the triangle of Koch region of the right atrium through the right atrial endocardium and central fibrous body. Once implanted, the tissue-piercing electrode may be positioned in the target implant region 4 (FIGS. 7-8), such as the basal and/or septal region of the left ventricular myocardium. With reference to map 300, the basal region includes one or more of the basal anterior area 1, basal anteroseptal area 2, basal inferoseptal area 3, basal inferior area 4, mid-anterior area 7, mid-anteroseptal area 8, mid-inferoseptal area 9, and mid-inferior area 10. With reference to map 300, the septal region includes one or more of the basal anteroseptal area 2, basal anteroseptal area 3, mid-anteroseptal area 8, mid-inferoseptal area 9, and apical septal area 14.

In some embodiments, the tissue-piercing electrode may be positioned in the basal septal region of the left ventricular myocardium when implanted. The basal septal region may include one or more of the basal anteroseptal area 2, basal inferoseptal area 3, mid-anteroseptal area 8, and mid-inferoseptal area 9.

In some embodiments, the tissue-piercing electrode may be positioned in the high inferior/posterior basal septal region of the left ventricular myocardium when implanted. The high inferior/posterior basal septal region of the left ventricular myocardium may include a portion of one or more of the basal inferoseptal area 3 and mid-inferoseptal area 9 (e.g., the basal inferoseptal area only, the mid-inferoseptal area only, or both the basal inferoseptal area and the mid-inferoseptal area). For example, the high inferior/posterior basal septal region may include region 324 illustrated generally as a dashed-line boundary. As shown, the dashed line boundary represents an approximation of where the high inferior/posterior basal septal region is located, which may take a somewhat different shape or size depending on the particular application.

A block diagram of circuitry is depicted in FIG. 10 that may be enclosed within the housings 30 of the device 10 to provide the functions of sensing cardiac signals, determining capture, and/or delivering pacing therapy according to one example or within the housings of any other medical devices described herein. The separate medical device 50 as shown in FIG. 7 may include some or all the same components, which may be configured in a similar manner. The electronic circuitry enclosed within the housing 30 may include software, firmware, and hardware that cooperatively monitor atrial and ventricular electrical cardiac signals, determine whether cardiac system capture has occurred, determine when a cardiac therapy is necessary, and/or deliver electrical pulses to the patient's heart according to programmed therapy mode and pulse control parameters. The electronic circuitry may include a control circuit 80 (e.g., including processing circuitry), a memory 82, a therapy delivery circuit 84, a sensing circuit 86, and/or a telemetry circuit 88. In some examples, the device 10 includes one or more sensors 90 for producing signals that are correlated to one or more physiological functions, states, or conditions of the patient. For example, the sensor(s) 90 may include a patient activity sensor, for use in determining a need for pacing therapy and/or controlling a pacing rate. In other words, the device 10 may include other sensors 90 for sensing signals from the patient for use in determining whether to deliver and/or controlling electrical stimulation therapies delivered by the therapy delivery circuit 84.

The power source 98 may provide power to the circuitry of the device 10 including each of the components 80, 82, 84, 86, 88, 90 as needed. The power source 98 may include one or more energy storage devices, such as one or more rechargeable or non-rechargeable batteries. The connections (not shown) between the power source 98 and each of the components 80, 82, 84, 86, 88, 90 may be understood from the general block diagram illustrated to one of ordinary skill in the art. For example, the power source 98 may be coupled to one or more charging circuits included in the therapy delivery circuit 84 for providing the power used to charge holding capacitors included in the therapy delivery circuit 84 that are discharged at appropriate times under the control of the control circuit 80 for delivering pacing pulses, e.g., according to a dual chamber pacing mode such as DDI(R). The power source 98 may also be coupled to components of the sensing circuit 86, such as sense amplifiers, analog-to-digital converters, switching circuitry, etc., sensors 90, the telemetry circuit 88, and the memory 82 to provide power to the various circuits.

The functional blocks shown in FIG. 10 represent functionality included in the device 10 and may include any discrete and/or integrated electronic circuit components that implement analog, and/or digital circuits capable of producing the functions attributed to the medical device 10 described herein. The various components may include processing circuitry, such as an application specific integrated circuit (ASIC), an electronic circuit, a processor (shared, dedicated, or group), and memory that execute one or more software or firmware programs, a combinational logic circuit, state machine, or other suitable components or combinations of components that provide the described functionality. The particular form of software, hardware, and/or firmware employed to implement the functionality disclosed herein will be determined primarily by the particular system architecture employed in the medical device and by the particular detection and therapy delivery methodologies employed by the medical device.

The memory 82 may include any volatile, non-volatile, magnetic, or electrical non-transitory computer readable storage media, such as random-access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), electrically-erasable programmable ROM (EEPROM), flash memory, or any other memory device. Furthermore, the memory 82 may include a non-transitory computer readable media storing instructions that, when executed by one or more processing circuits, cause the control circuit 80 and/or other processing circuitry to determine posterior left bundle branch engagement and/or perform a single, dual, or triple chamber calibrated pacing therapy (e.g., single or multiple chamber pacing), or other cardiac therapy functions (e.g., sensing or delivering therapy), attributed to the device 10. The non-transitory computer-readable media storing the instructions may include any of the media listed above.

The control circuit 80 may communicate, e.g., via a data bus, with the therapy delivery circuit 84 and the sensing circuit 86 for sensing cardiac electrical signals and controlling delivery of cardiac electrical stimulation therapies in response to sensed cardiac events, e.g., P-waves and R-waves, or the absence thereof. The tip electrode 42, the distal housing-based electrode 22, and the proximal housing-based electrode 24 may be electrically coupled to the therapy delivery circuit 84 for delivering electrical stimulation pulses to the patient's heart and to the sensing circuit 86 and for sensing cardiac electrical signals.

The sensing circuit 86 may include an atrial (A) sensing channel 87 and a ventricular (V) sensing channel 89. The distal housing-based electrode 22 and the proximal housing-based electrode 24 may be coupled to the atrial sensing channel 87 for sensing atrial signals, e.g., P-waves attendant to the depolarization of the atrial myocardium. In examples that include two or more selectable distal housing-based electrodes, the sensing circuit 86 may include switching circuitry for selectively coupling one or more of the available distal housing-based electrodes to cardiac event detection circuitry included in the atrial sensing channel 87. Switching circuitry may include a switch array, switch matrix, multiplexer, or any other type of switching device suitable to selectively couple components of the sensing circuit 86 to selected electrodes. The tip electrode 42 and the proximal housing-based electrode 24 may be coupled to the ventricular sensing channel 89 for sensing ventricular signals, e.g., R-waves attendant to the depolarization of the ventricular myocardium.

Each of the atrial sensing channel 87 and the ventricular sensing channel 89 may include cardiac event detection circuitry for detecting P-waves and R-waves, respectively, from the cardiac electrical signals received by the respective sensing channels. The cardiac event detection circuitry included in each of the channels 87 and 89 may be configured to amplify, filter, digitize, and rectify the cardiac electrical signal received from the selected electrodes to improve the signal quality for detecting cardiac electrical events. The cardiac event detection circuitry within each channel 87 and 89 may include one or more sense amplifiers, filters, rectifiers, threshold detectors, comparators, analog-to-digital converters (ADCs), timers, or other analog or digital components. A cardiac event sensing threshold, e.g., a P-wave sensing threshold and an R-wave sensing threshold, may be automatically adjusted by each respective sensing channel 87 and 89 under the control of the control circuit 80, e.g., based on timing intervals and sensing threshold values determined by the control circuit 80, stored in the memory 82, and/or controlled by hardware, firmware, and/or software of the control circuit 80 and/or the sensing circuit 86.

Upon detecting a cardiac electrical event based on a sensing threshold crossing, the sensing circuit 86 may produce a sensed event signal that is passed to the control circuit 80. For example, the atrial sensing channel 87 may produce a P-wave sensed event signal in response to a P-wave sensing threshold crossing. The ventricular sensing channel 89 may produce an R-wave sensed event signal in response to an R-wave sensing threshold crossing. The sensed event signals may be used by the control circuit 80 for setting pacing escape interval timers that control the basic time intervals used for scheduling cardiac pacing pulses. A sensed event signal may trigger or inhibit a pacing pulse depending on the particular programmed pacing mode. For example, a P-wave sensed event signal received from the atrial sensing channel 87 may cause the control circuit 80 to inhibit a scheduled atrial pacing pulse and schedule a ventricular pacing pulse at a programmed atrioventricular (A-V) pacing interval. If an R-wave is sensed before the A-V pacing interval expires, the ventricular pacing pulse may be inhibited. If the A-V pacing interval expires before the control circuit 80 receives an R-wave sensed event signal from the ventricular sensing channel 89, the control circuit 80 may use the therapy delivery circuit 84 to deliver the scheduled ventricular pacing pulse synchronized to the sensed P-wave.

In some examples, the device 10 may be configured to deliver a variety of pacing therapies including bradycardia pacing, cardiac resynchronization therapy, post-shock pacing, and/or tachycardia-related therapy, such as ATP, among others. For example, the device 10 may be configured to detect non-sinus tachycardia and deliver ATP. The control circuit 80 may determine cardiac event time intervals, e.g., P-P intervals between consecutive P-wave sensed event signals received from the atrial sensing channel 87, R-R intervals between consecutive R-wave sensed event signals received from the ventricular sensing channel 89, and P-R and/or R-P intervals received between P-wave sensed event signals and R-wave sensed event signals. These intervals may be compared to tachycardia detection intervals for detecting non-sinus tachycardia. Tachycardia may be detected in a given heart chamber based on a threshold number of tachycardia detection intervals being detected.

The therapy delivery circuit 84 may include atrial pacing circuit 83 and ventricular pacing circuit 85. Each pacing circuit 83, 85 may include charging circuitry, one or more charge storage devices such as one or more low voltage holding capacitors, an output capacitor, and/or switching circuitry that controls when the holding capacitor(s) are charged and discharged across the output capacitor to deliver a pacing pulse to the pacing electrode vector coupled to respective pacing circuits 83, 85. The tip electrode 42 and the proximal housing-based electrode 24 may be coupled to the ventricular pacing circuit 85 as a bipolar cathode and anode pair for delivering ventricular pacing pulses, e.g., upon expiration of an A-V or V-V pacing interval set by the control circuit 80 for providing atrial-synchronized ventricular pacing and a basic lower ventricular pacing rate.

The atrial pacing circuit 83 may be coupled to the distal housing-based electrode 22 and the proximal housing-based electrode 24 to deliver atrial pacing pulses. The control circuit 80 may set one or more atrial pacing intervals according to a programmed lower pacing rate or a temporary lower rate set according to a rate-responsive sensor indicated pacing rate. Atrial pacing circuit may be controlled to deliver an atrial pacing pulse if the atrial pacing interval expires before a P-wave sensed event signal is received from the atrial sensing channel 87. The control circuit 80 starts an A-V pacing interval in response to a delivered atrial pacing pulse to provide synchronized multiple chamber pacing (e.g., dual or triple chamber pacing).

Charging of a holding capacitor of the atrial or ventricular pacing circuit 83, 85 to a programmed pacing voltage amplitude and discharging of the capacitor for a programmed pacing pulse width may be performed by the therapy delivery circuit 84 according to control signals received from the control circuit 80. For example, a pace timing circuit included in the control circuit 80 may include programmable digital counters set by a microprocessor of the control circuit 80 for controlling the basic pacing time intervals associated with various single chamber or multiple chamber pacing (e.g., dual or triple chamber pacing) modes or anti-tachycardia pacing sequences. The microprocessor of the control circuit 80 may also set the amplitude, pulse width, polarity, or other characteristics of the cardiac pacing pulses, which may be based on programmed values stored in the memory 82.

Control parameters utilized by the control circuit 80 for sensing cardiac events and controlling pacing therapy delivery may be programmed into the memory 82 via the telemetry circuit 88, which may also be described as a communication interface. The telemetry circuit 88 includes a transceiver and antenna for communicating with an external device, such as a programmer or home monitor, using radio frequency communication or other communication protocols. The control circuit 80 may use the telemetry circuit 88 to receive downlink telemetry from and send uplink telemetry to the external device. In some cases, the telemetry circuit 88 may be used to transmit and receive communication signals to/from another medical device implanted in the patient.

The techniques described in this disclosure, including those attributed to the IMD 10, device 50, the computing apparatus 140, and the computing device 160 and/or various constituent components, may be implemented, at least in part, in hardware, software, firmware, or any combination thereof. For example, various aspects of the techniques may be implemented within one or more processors, including one or more microprocessors, DSPs, ASICs, FPGAs, or any other equivalent integrated or discrete logic circuitry, as well as any combinations of such components, embodied in programmers, such as physician or patient programmers, stimulators, image processing devices, or other devices. The term “module,” “processor,” or “processing circuitry” may generally refer to any of the foregoing logic circuitry, alone or in combination with other logic circuitry, or any other equivalent circuitry.

Such hardware, software, and/or firmware may be implemented within the same device or within separate devices to support the various operations and functions described in this disclosure. In addition, any of the described units, modules, or components may be implemented together or separately as discrete but interoperable logic devices. Depiction of different features as modules or units is intended to highlight different functional aspects and does not necessarily imply that such modules or units must be realized by separate hardware or software components. Rather, functionality associated with one or more modules or units may be performed by separate hardware or software components or integrated within common or separate hardware or software components.

When implemented in software, the functionality ascribed to the systems, devices and techniques described in this disclosure may be embodied as instructions on a computer-readable medium such as RAM, ROM, NVRAM, EEPROM, FLASH memory, magnetic data storage media, optical data storage media, or the like. The instructions may be executed by processing circuitry and/or one or more processors to support one or more aspects of the functionality described in this disclosure.

All references and publications cited herein are expressly incorporated herein by reference in their entirety for all purposes, except to the extent any aspect incorporated directly contradicts this disclosure.

All scientific and technical terms used herein have meanings commonly used in the art unless otherwise specified. The definitions provided herein are to facilitate understanding of certain terms used frequently herein and are not meant to limit the scope of the present disclosure.

Unless otherwise indicated, all numbers expressing feature sizes, amounts, and physical properties used in the specification and claims may be understood as being modified either by the term “exactly” or “about.” Accordingly, unless indicated to the contrary, the numerical parameters set forth in the foregoing specification and attached claims are approximations that can vary depending upon the desired properties sought to be obtained by those skilled in the art utilizing the teachings disclosed herein or, for example, within typical ranges of experimental error.

The recitation of numerical ranges by endpoints includes all numbers subsumed within that range (e.g. 1 to 5 includes 1, 1.5, 2, 2.75, 3, 3.80, 4, and 5) and any range within that range. Herein, the terms “up to” or “no greater than” a number (e.g., up to 50) includes the number (e.g., 50), and the term “no less than” a number (e.g., no less than 5) includes the number (e.g., 5).

The terms “coupled” or “connected” refer to elements being attached to each other either directly (in direct contact with each other) or indirectly (having one or more elements between and attaching the two elements). Either term may be modified by “operatively” and “operably,” which may be used interchangeably, to describe that the coupling or connection is configured to allow the components to interact to carry out at least some functionality (for example, a first medical device may be operatively coupled to another medical device to transmit information in the form of data or to receive data therefrom).

Terms related to orientation, such as “top,” “bottom,” “side,” and “end,” are used to describe relative positions of components and are not meant to limit the orientation of the embodiments contemplated. For example, an embodiment described as having a “top” and “bottom” also encompasses embodiments thereof rotated in various directions unless the content clearly dictates otherwise.

Reference to “one embodiment,” “an embodiment,” “certain embodiments,” or “some embodiments,” etc., means that a particular feature, configuration, composition, or characteristic described in connection with the embodiment is included in at least one embodiment of the disclosure. Thus, the appearances of such phrases in various places throughout are not necessarily referring to the same embodiment of the disclosure. Furthermore, the particular features, configurations, compositions, or characteristics may be combined in any suitable manner in one or more embodiments.

As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” encompass embodiments having plural referents, unless the content clearly dictates otherwise. As used in this specification and the appended claims, the term “or” is generally employed in its sense including “and/or” unless the content clearly dictates otherwise.

As used herein, “have,” “having,” “include,” “including,” “comprise,” “comprising” or the like are used in their open-ended sense, and generally mean “including, but not limited to.” It will be understood that “consisting essentially of,” “consisting of,” and the like are subsumed in “comprising,” and the like.

The term “and/or” means one or all the listed elements or a combination of at least two of the listed elements. The phrases “at least one of,” “comprises at least one of,” and “one or more of” followed by a list refers to any one of the items in the list and any combination of two or more items in the list.

ILLUSTRATIVE EMBODIMENTS

Embodiment 1. A system for use in cardiac evaluation comprising:

-   -   an electrode apparatus comprising a plurality of external         electrodes to be disposed proximate a patient's skin; and     -   a computing apparatus comprising processing circuitry, the         computing apparatus operably coupled to the electrode apparatus         and configured to:     -   monitor electrical activity from tissue of the patient using the         plurality of external electrodes to generate a plurality of         electrical signals;     -   determine a representative electrical signal morphology based on         the plurality of electrical signals; and     -   determine efficacy of left bundle branch (LBB) engagement based         on the representative electrical signal morphology.

Embodiment 2. A method for use in cardiac evaluation comprising:

-   -   monitoring electrical activity from tissue of a patient using a         plurality of external electrodes to generate a plurality of         electrical signals;     -   determining a representative electrical signal morphology based         on the plurality of electrical signals; and     -   determining efficacy of left bundle branch (LBB) engagement         based on the representative electrical signal morphology.

Embodiment 3. The system or method as in any one of embodiments 1 and 2, wherein the plurality of external electrodes comprises a plurality of surface electrodes to be located proximate skin of the patient's torso.

Embodiment 4. The system or method as in any one of embodiments 1-3, wherein the plurality of external electrodes comprises a plurality of electrodes posterior electrodes to be located proximate skin of the posterior of the patient's torso.

Embodiment 5. The system or method as in any one of embodiments 1-4, wherein the representative electrical signal morphology is the median electrical signal.

Embodiment 6. The system or method as in any one of embodiments 1-5, wherein determining the efficacy of LBB engagement based on the representative electrical signal morphology comprises:

-   -   comparing each of the plurality of electrical signals to the         representative electrical signal morphology to generate a         plurality of correlation values corresponding to the plurality         of electrical signals; and     -   determining efficacy of LBB engagement based on the plurality of         correlation values.

Embodiment 7. The system or method of embodiment 6, wherein determining efficacy of LBB engagement based on the plurality of correlation values comprises determining a percentage of the plurality of correlation values that are greater than or equal to a predetermined LBB engagement threshold value.

Embodiment 8. The system or method of embodiment 7, wherein the computing apparatus is configured to execute or the method further comprises determining that LBB engagement is achieved if the percentage is greater than a predetermined percentage.

Embodiment 9. The system or method of embodiment 8, wherein the predetermined percentage is about 75%.

Embodiment 10. The system or method as in any one of embodiments 1-9, wherein the computing apparatus is configured to execute or the method further comprises:

-   -   determining a maximum amplitude and a minimum amplitude for the         representative electrical signal morphology;     -   determining a maximum amplitude and a minimum amplitude of the         at least one each electrical signal of the plurality of         electrical signals;     -   comparing the maximum amplitude of each electrical signal of the         plurality of electrical signals to the maximum amplitude of the         representative electrical signal morphology and the minimum         amplitude of each electrical signal of the plurality of         electrical signals to the minimum amplitude of the         representative electrical signal morphology; and     -   determining a correlation value for each electrical signal of         the plurality of electrical signals based on the comparisons of         the maximum amplitudes and minimum amplitudes.

Embodiment 11. The system or method as in any one of embodiments 1-10, wherein monitoring electrical activity from tissue of the patient using the plurality of external electrodes to generate the plurality of electrical signals occurs during delivery of pacing therapy of a ventricle from atrium (VfA) pacing therapy.

Embodiment 12. The system or method as in any one of embodiments 1-11, wherein determining the representative electrical signal morphology based on the plurality of electrical signals comprises determining the representative electrical signal morphology of a QRS complex of the same heart beat for the plurality of electrical signals.

Embodiment 13. The system or method as in any one of embodiments 1-12, wherein the computing apparatus is configured to execute or the method further comprises:

-   -   comparing a maximum amplitude of the representative morphology         to a maximum threshold and a minimum amplitude of the         representative morphology to a minimum threshold; and     -   determining the efficacy of left bundle branch (LBB) engagement         based on the comparison.

Embodiment 14. The system or method of embodiment 13, wherein the minimum threshold is in a range of about −0.1 mV to about −0.25 mV and the maximum threshold is in a range of about 0.1 mV to about 0.25 mV. 

What is claimed:
 1. A system for use in cardiac evaluation comprising: an electrode apparatus comprising a plurality of external electrodes to be disposed proximate a patient's skin; and a computing apparatus comprising processing circuitry, the computing apparatus operably coupled to the electrode apparatus and configured to: monitor electrical activity from tissue of the patient using the plurality of external electrodes to generate a plurality of electrical signals; determine a representative electrical signal morphology based on the plurality of electrical signals; and determine efficacy of left bundle branch (LBB) engagement based on the representative electrical signal morphology.
 2. The system of claim 1, wherein the plurality of external electrodes comprises a plurality of surface electrodes to be located proximate skin of the patient's torso.
 3. The system of claim 1, wherein the plurality of external electrodes comprises a plurality of electrodes posterior electrodes to be located proximate skin of the posterior of the patient's torso.
 4. The system of claim 1, wherein the representative electrical signal morphology is the median electrical signal.
 5. The system of claim 1, wherein determining the efficacy of LBB engagement based on the representative electrical signal morphology comprises: comparing each of the plurality of electrical signals to the representative electrical signal morphology to generate a plurality of correlation values corresponding to the plurality of electrical signals; and determining efficacy of LBB engagement based on the plurality of correlation values.
 6. The system of claim 5, wherein determining efficacy of LBB engagement based on the plurality of correlation values comprises determining a percentage of the plurality of correlation values that are greater than or equal to a predetermined LBB engagement threshold value.
 7. The system of claim 6, wherein the computing apparatus is configured to determine that LBB engagement is achieved if the percentage is greater than a predetermined percentage.
 8. The system of claim 7, wherein the predetermined percentage is about 75%.
 9. The system of claim 1, wherein the computing apparatus is configured to: determine a maximum amplitude and a minimum amplitude for the representative electrical signal morphology; determine a maximum amplitude and a minimum amplitude of the at least one each electrical signal of the plurality of electrical signals; compare the maximum amplitude of each electrical signal of the plurality of electrical signals to the maximum amplitude of the representative electrical signal morphology and the minimum amplitude of each electrical signal of the plurality of electrical signals to the minimum amplitude of the representative electrical signal morphology; and determine a correlation value for each electrical signal of the plurality of electrical signals based on the comparisons of the maximum amplitudes and minimum amplitudes.
 10. The system of claim 1, wherein monitoring electrical activity from tissue of the patient using the plurality of external electrodes to generate the plurality of electrical signals occurs during delivery of pacing therapy of a ventricle from atrium (VfA) pacing therapy.
 11. The system of claim 1, wherein determining the representative electrical signal morphology based on the plurality of electrical signals comprises determining the representative electrical signal morphology of a QRS complex of the same heart beat for the plurality of electrical signals.
 12. The system of claim 1, wherein the computing apparatus is configured to: compare a maximum amplitude of the representative morphology to a maximum threshold and a minimum amplitude of the representative morphology to a minimum threshold; and determine the efficacy of left bundle branch (LBB) engagement based on the comparison.
 13. The system of claim 12, wherein the minimum threshold is in a range of about −0.1 mV to about −0.25 mV and the maximum threshold is in a range of about 0.1 mV to about 0.25 mV.
 14. A method for use in cardiac evaluation comprising: monitoring electrical activity from tissue of a patient using a plurality of external electrodes to generate a plurality of electrical signals; determining a representative electrical signal morphology based on the plurality of electrical signals; and determining efficacy of left bundle branch (LBB) engagement based on the representative electrical signal morphology.
 15. The method of claim 14, wherein the plurality of external electrodes comprises a plurality of surface electrodes to be located proximate skin of the patient's torso.
 16. The method of claim 14, wherein the plurality of external electrodes comprises a plurality of electrodes posterior electrodes to be located proximate skin of the posterior of the patient's torso.
 17. The method of claim 14, wherein the representative electrical signal morphology is the median electrical signal.
 18. The method of claim 14, wherein determining the efficacy of LBB engagement based on the representative electrical signal morphology comprises: comparing each of the plurality of electrical signals to the representative morphology to generate a plurality of correlation values corresponding to the plurality of electrical signals; and determining the efficacy of LBB engagement based on the plurality of correlation values.
 19. The method of claim 18, wherein determining the efficacy of LBB engagement based on the plurality of correlation values comprises determining a percentage of the plurality of correlation values that are greater than or equal to a predetermined LBB engagement threshold value.
 20. The method of claim 19, further comprising determining whether the LBB engagement is achieved if the percentage is greater than a predetermined percentage.
 21. The method of claim 20, wherein the predetermined percentage is about 75%.
 22. The method of claim 14, further comprising: determining a maximum amplitude and a minimum amplitude for the representative electrical signal morphology; determining a maximum amplitude and a minimum amplitude of the at least one each electrical signal of the plurality of electrical signals; comparing the maximum amplitude of each electrical signal of the plurality of electrical signals to the maximum amplitude of the representative electrical signal morphology and the minimum amplitude of each electrical signal of the plurality of electrical signals to the minimum amplitude of the representative electrical signal morphology; and determining a correlation value for each electrical signal of the plurality of electrical signals based on the comparisons of the maximum amplitudes and minimum amplitudes.
 23. The method of claim 14, wherein monitoring electrical activity from tissue of the patient using the plurality of external electrodes to generate the plurality of electrical signals occurs during delivery of pacing therapy of a ventricle from atrium (VfA) pacing therapy.
 24. The method of claim 14, wherein determining the representative electrical signal morphology based on the plurality of electrical signals comprises determining the representative electrical signal morphology of a QRS complex of the same heart beat for the plurality of electrical signals.
 25. A system for use in cardiac evaluation comprising: an electrode apparatus comprising a plurality of external electrodes to be disposed proximate a patient's skin; and a computing apparatus comprising processing circuitry, the computing apparatus operably coupled to the electrode apparatus and configured to: monitor electrical activity from tissue of the patient using the plurality of external electrodes to generate a plurality of electrical signals during delivery of cardiac conduction system pacing; determine a representative electrical signal morphology based on the plurality of electrical signals; and determine efficacy of left bundle branch (LBB) engagement by the cardiac conduction system pacing based on the representative electrical signal morphology. 